1HEALTH-1INTEL cover
INDUSTRY
Healthcare and Pharmaceuticals Industry
TECH STACK
Design Tools
This case study explores comprehensive healthcare apps, “1Health” and a “1Intel” health data management platforms aimed at addressing gaps in healthcare accessibility, efficiency, and data handling. By using AI, IoT, and advanced data harmonization, these platforms seeks to streamline patient-doctor interactions, enhance EHR usability, and improve compliance with healthcare regulations. Key features include predictive analytics, automated data processing, and user-friendly interfaces for diverse personas.
ROLES
Product Researcher
COLLABORATORS
-
DELIVERABLES
Expedite patient access
Reduce trial costs
Health-related Interconnectivity
TIMELINE & STATUS
National Finalist
Completed
THE WHAT
Keeping the vision of AI for Healthcare in India. The purpose was to solve and fill the current infrastructural gaps that are currently present in the healthcare system of India.
THE WHY
India's healthcare system faces key challenges like doctor shortages, poor rural access, disorganized records, and error-prone manual processes. With over 1 billion people lacking essential care and major inefficiencies in clinical trials and EHR systems, there's a pressing need for scalable, tech-driven solutions.
THE HOW
The content presented in this case study is a culmination of online research, user surveys, and user interviews. The problems identified are based on these findings, and the proposed solutions with prototype design screens are done by me to visualise and address the most feasible and relevant challenges. These solutions are offered as two distinct packages: “1Health” and “1Intel”.

THE HIGHLIGHTS

1health-1intel - Highlights - 1 of 2
1health-1intel - Highlights - 2 of 2

INTRODUCTION & STATISTICS

Healthcare systems worldwide face challenges such as limited accessibility, fragmented data management, and inadequate patient engagement. Current Status The healthcare IT sector is growing at an 18.5% CAGR, emphasizing the need for interoperable systems and data-driven insights. The statistics reveal concerning gaps:

1health-1intel - Introduction & Statistics

USER PERSONAS

1health-1intel - User Personas

IDENTIFIED PROBLEMS

1health-1intel - Identified Problems - 1 of 3
1health-1intel - Identified Problems - 2 of 3
1health-1intel - Identified Problems - 3 of 3

PROPOSED SOLUTIONS - 1HEALTH (COMMON POPULATION)

1health-1intel - 1Health - 1 of 4
1health-1intel - 1Health - 2 of 4
1health-1intel - 1Health - 3 of 4
1health-1intel - 1Health - 4 of 4

PROPOSED SOLUTIONS - 1INTEL (PHARMA INSTITUTIONS)

1health-1intel - 1Intel - 1 of 9
1health-1intel - 1Intel - 2 of 9
1health-1intel - 1Intel - 3 of 9
1health-1intel - 1Intel - 4 of 9
1health-1intel - 1Intel - 5 of 9
1health-1intel - 1Intel - 6 of 9
1health-1intel - 1Intel - 7 of 9
1health-1intel - 1Intel - 8 of 9
1health-1intel - 1Intel - 9 of 9

FEASIBILITY

1health-1intel - Feasibility

SCALABILITY

1health-1intel - Scalability

PITFALLS & MITIGATION

1health-1intel - Pitfalls & Mitigation

CONCLUSION & DEGREE OF IMPACT

1health-1intel - Conclusion & Degree of Impact

CITATION

1health-1intel - Citations